Accessing and understanding your data extracts with matos, rvdat, and otndo

Mike O’Brien

University of Maryland Center for Environmental Science

2024-01-23

matos

https://matos.obrien.page

  • An API to the MATOS website/database tool
  • List projects and files, download files, upload files to MATOS
  • No data analysis/manipulation
  • May provide sanity checks in the future (Kim’s sanity)

Connect to the MATOS database

Treat this just like you’re visiting https://matos.asascience.com/account/login

library(matos)
By continuing, you are agreeing to the ACT Network MATOS User Agreement and
Data Policy, Version 1.2:

<https://matos.asascience.com/static/MATOS.User.Agreement.V1.1.pdf>
matos_login()
! Please log in.
✔ Login successful!

List all projects

all_projects <- list_projects()
ℹ These projects are missing metadata as they have not yet synced with OTN:
"BTWaves Caribbean Acoustic Tagging", "CT DEEP Array (2022-2026)", "ERDC-VCU
James River Array", "ERDC_Brunswick", "SBU Eco-Pod", "SBU Landscape Lab Array",
"SBU NY Ocean Indicators", "UNH - Rainbow smelt", "VCU/ERDCTelemetry Tags", and
"WCS New York Sand Tiger Shark Study"

# A tibble: 146 × 19
   name    number url   FID   collectioncode longname shortname ocean seriescode
   <chr>    <dbl> <chr> <chr> <chr>          <chr>    <chr>     <chr> <chr>     
 1 ACK Ar…    168 http… otn_… ACT.NEAQACK    "Invest… ACK Array NE A… ACT       
 2 APG At…    176 http… otn_… ACT.ATSHS      "Aberde… APG Atla… NE A… ACT       
 3 ASI - …    211 http… otn_… ACT.ASIWHITE21 "Atlant… ASI - Wh… NE A… ACT       
 4 ASI Ac…    100 http… otn_… ACT.ASIARRAY   "Using … ASI Acou… NE A… ACT       
 5 ASI Sp…    227 http… otn_… ACT.ASISPINNER "ASI sp… ASI Spin… NE A… ACT       
 6 ASI Wh…    232 http… otn_… ACT.ASIWHITE   "ASI Wh… ASI Whit… NE A… ACT       
 7 BOEM-D…     85 http… otn_… ACT.DEWEA      "Occurr… BOEM-DE … MID … ACT       
 8 BOEM-V…    217 http… otn_… ACT.VAHMSSHARK "Sandbr… BOEM-VA:… NE A… ACT       
 9 BOEM L…    239 http… otn_… ACT.MABASKMOLA "Invest… BOEM Liv… NE A… ACT       
10 Brandy…    162 http… otn_… ACT.BRAWSHAD   "Examin… Brandywi… NE A… ACT       
# ℹ 136 more rows
# ℹ 10 more variables: status <chr>, citation <chr>, abstract <chr>,
#   locality <chr>, local_area <chr>, website <chr>, node <chr>,
#   collaborationtype <chr>, id <int>, the_geom <chr>

List only your projects

list_my_projects()
                                            name number
35      Maryland Department of Natural Resources     90
47              Navy Kennebec ME Telemetry Array    192
48         NCBO-MD DNR Chesapeake Backbone North    181
49           NCBO-VMRC Chesapeake Backbone South    164
123    UMCES-NYSDEC Hudson Striped Bass Spawning    127
124 UMCES Black Sea Bass & Offshore Construction     97
125          UMCES BOEM Marine Mammal Monitoring    242
126              UMCES BOEM Offshore Wind Energy     87
127           UMCES Chesapeake Backbone, Mid-Bay    161
128  UMCES Lower Hudson Striped Bass Contingents    155
129   UMCES Potomac River Striped Bass Migration     60
130 UMCES Resident Hudson Striped Bass Migration    160
131           UMCES Striped Bass Thermal Squeeze    152
132                              UMCES TailWinds    240
                                                url
35   https://matos.asascience.com/project/detail/90
47  https://matos.asascience.com/project/detail/192
48  https://matos.asascience.com/project/detail/181
49  https://matos.asascience.com/project/detail/164
123 https://matos.asascience.com/project/detail/127
124  https://matos.asascience.com/project/detail/97
125 https://matos.asascience.com/project/detail/242
126  https://matos.asascience.com/project/detail/87
127 https://matos.asascience.com/project/detail/161
128 https://matos.asascience.com/project/detail/155
129  https://matos.asascience.com/project/detail/60
130 https://matos.asascience.com/project/detail/160
131 https://matos.asascience.com/project/detail/152
132 https://matos.asascience.com/project/detail/240
                                                     FID collectioncode
35  otn_resources_metadata.fid-37ac1afd_18d3389bf79_486e   ACT.MDDNR1NR
47  otn_resources_metadata.fid-37ac1afd_18d3389bf79_4879   ACT.NAVYKENN
48  otn_resources_metadata.fid-37ac1afd_18d3389bf79_4840      ACT.CBBBN
49  otn_resources_metadata.fid-37ac1afd_18d3389bf79_4841      ACT.CBBBS
123 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4864     ACT.HUDRSB
124 otn_resources_metadata.fid-37ac1afd_18d3389bf79_486d      ACT.MDBSB
125 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4871   ACT.MDWEAMAM
126 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4870      ACT.MDWEA
127 otn_resources_metadata.fid-37ac1afd_18d3389bf79_483f     ACT.CBBBMB
128 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4861     ACT.HRSB09
129 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4892      ACT.PASBT
130 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4860     ACT.HRSB04
131 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4893    ACT.PAXSB08
132 otn_resources_metadata.fid-37ac1afd_18d3389bf79_48ac  ACT.TAILWINDS
                                                                                                                                longname
35                                   Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47                                        Naval Undersea Warfare Center (NUWC) Kennebec River and Offshore Acoustic Telemetry Monitoring
48                            NOAA Chesapeake Bay Office-Maryland Department of Natural Resources Chesapeake Bay Backbone Northern Array
49                        NOAA Chesapeake Bay Office-Virginia Marine Resource Commission Chesapeake Bay Backbone Southern Acoustic Array
123                                                                  Spawning Behavior and Ocean Migrations by Hudson River Striped Bass
124        Influence of Turbine Construction Noise on Black Sea Bass Displacement and Physiological Condition in the MD Wind Energy Area
125 Add-on to: Determining Habitat Use by Marine Mammals and Ambient Noise Levels Using Passive Acoustic Monitoring Offshore of Maryland
126          Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127                                                                  Building a Mainstem Chesapeake Bay Telemetry Array: Mid-Bay Segment
128                                                            Striped Bass Habitat Use and Migrations in the Lower Hudson River Estuary
129                                                                          PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130                                                                             Migration Patterns of Resident Hudson River Striped Bass
131                                                  Test of The Thermal Niche-Oxygen Squeeze Hypothesis for Chesapeake Bay Striped Bass
132                                                TailWinds: Team for Assessing Impacts to Living resources from offshore WIND turbineS
                                       shortname        ocean seriescode
35      Maryland Department of Natural Resources MID ATLANTIC        ACT
47              Navy Kennebec ME Telemetry Array  NE ATLANTIC        ACT
48         NCBO-MD DNR Chesapeake Backbone North  NE ATLANTIC        ACT
49           NCBO-VMRC Chesapeake Backbone South  NE ATLANTIC        ACT
123    UMCES-NYSDEC Hudson Striped Bass Spawning  NE ATLANTIC        ACT
124 UMCES Black Sea Bass & Offshore Construction  NE ATLANTIC        ACT
125          UMCES BOEM Marine Mammal Monitoring  NE ATLANTIC        ACT
126              UMCES BOEM Offshore Wind Energy MID ATLANTIC        ACT
127           UMCES Chesapeake Backbone, Mid-Bay  NE ATLANTIC        ACT
128  UMCES Lower Hudson Striped Bass Contingents MID ATLANTIC        ACT
129   UMCES Potomac River Striped Bass Migration MID ATLANTIC        ACT
130 UMCES Resident Hudson Striped Bass Migration  NE ATLANTIC        ACT
131           UMCES Striped Bass Thermal Squeeze MID ATLANTIC        ACT
132                              UMCES TailWinds  NE ATLANTIC        ACT
       status
35    ongoing
47    ongoing
48    ongoing
49    ongoing
123 completed
124 completed
125   ongoing
126 completed
127   ongoing
128 completed
129 completed
130 completed
131 completed
132   ongoing
                                                                                                                                         citation
35                           Stence, C. 2019. Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47                                                                                                                                               
48                                                                                                                                               
49                                                                                                                                               
123                                                                                                                                              
124                                                                                                                                              
125                                                                                                                                              
126 O'Brien, M. 2016. Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127                                                                                                                                              
128                                                                                                                                              
129                                                                 O'Brien, M. 2014. PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130                                                                                                                                              
131                                                                                                                                              
132                                                                                                                                              
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                abstract
35                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             Recovery planning for Atlantic sturgeon requires estimates of population abundances against which to evaluate takes and develop feasible restoration targets.  We will develop an approach combining telemetry and multi-beam sonar (ARIS: Adaptive Resolution Imaging Sonar) to estimate spawning run size in the Nanticoke River Estuary, which supports a newly discovered yet potentially critically endangered population within Chesapeake Bay DPS.
47                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              This telemetry monitoring study is to collect year round occurrence data for Atlantic and shortnose sturgeon in the lower Kennebec River (at Bath Iron Works [BIW]) and also to collect data during recurrent Naval activities. This study will also implement monitoring stations offshore of Popham Beach to capture coastal movements of sturgeon and other species including White Sharks.  This area encompasses a curtain between Fox-Seguin Islands and the JackKnife Ledge Dredge Disposal area.
48                                                                                                                                               NCBO and MD DNR partner to deploy four acoustic release receivers across the span of the Chesapeake adjacent to the Chesapeake Bay Bridge between Annapolis and Kent Island. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay. The goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally
49                                                                                                                                                                               This project maintains a line of receivers immediately adjacent to the Chesapeake Bay Bridget Tunnel near the mouth of the Chesapeake. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay.\\r\\rThe goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally.
123                                                                                                                                                                                                                                                                                                                                                                                                                Together with other principal striped bass stocks, the Hudson River population has experienced diminished recruitment and survival, which has prompted management action to reduce fishing mortality in New York and other states. A central issue in the management of Hudson River striped bass is how this population contributes to coastal fisheries. What factors influence coastal migrations? This study used existing telemetry receiver assets in the Hudson River, shelf waters, and other major Atlantic estuaries to examine the influence of sex, size, and spawning reach on these coastal migrations.
124                                                                                                                                                                                                                                                                                                                              The project evaluates differences in black sea bass occurrence, movement, and physiological condition between a control region (>20 km) and regions of avoidance (500-1000 m) and noise detection (2000-4000 m) associated with construction of a meteorological tower in advance of wind farm development. The influence of noise levels (recorded on broadband acoustic receivers) from separate phases of Meteorological Tower construction on black sea bass occurrence and movement data is monitored.\\r\\rInfluence of large-scale storms on the acoustic environment and physical oceanography on black sea bass movement and migration will also be investigated utilizing the resultant data.
125                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               BOEM Study 2019-018 was used as a "ship of opportunity" to deploy Innovasea VR2Ws alongside of passive acoustic monitoring instruments used to describe marine mammal movements through the Maryland Wind Energy Area.
126 Baseline information is needed on the extent of fish migration corridors within BOEM-leased Wind Energy Areas. This two-year biotelemetry study deployed a beforeafter-gradient approach to evaluate migration behavior and habitat selection of two model migratory fishes, Atlantic sturgeon Acipenser oxyrhynchus and striped bass Morone saxatilis, in the Maryland Wind Energy Area (MD WEA). The MD WEA is located in the migration corridors for both species during periods of spring, fall and winter. Detected individuals within the MD WEA originated broadly, from Maine to South Carolina. During summer, Atlantic sturgeon were rarely detected and striped bass were absent in the MD WEA, suggesting a potential window for wind turbine construction. Dynamic habitat models identified cross-shelf gradients in depth and temperature that were predictive of seasonal incidence and whether test species distributions were within MD WEA or in adjacent shelf regions.  https://doi.org/10.5061/dryad.6hdr7sqx3
127                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 This project maintains a string of receivers across the mid-Bay segment of the mainstem Chesapeake Bay between Cedar Point and Barren Island, MD. The goal of this project is to create a consistently-deployed telemetry array upon which other projects can build.
128                                                                                                                                                                                                                                                                                                                                                                                 Through biotelemetry, we investigated how striped bass transit and utilize the lower Hudson River Estuary. This study builds upon past Hudson River Foundation-supported research, which suggested that striped bass migration patterns, categorized as “contingent structure,” might be a useful organizing concept in understanding how striped bass seasonally utilize the Hudson River Estuary. Seasonal migrations of three contingents (river, harbor, and ocean contingents) were investigated using both manual tracking (three seasonal campaigns) and remote data-logging receiver arrays over a 18-month period (May 2010-December 2011).
129                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  Track a representative group of 100 Potomac River striped bass over a multi-year period within the Potomac River and across major regions and tributaries of the Chesapeake and the Atlantic Coast.
130                  Hudson River striped bass show highly variable migration patterns, as seen through tagging studies and otolith microchemical analyses (Clark 1968; Secor 1999). Recent studies have shown resident, estuarine, and ocean migratory contingents in the Hudson River (Secor et al. 2001). These contingent behaviors play a dominant role in the exposure of these fish to polychlorinated biphenyls (PCBs) (Secor and Zlokovitz 1999). We describe a study of seasonal migrations of contaminated resident striped bass to better understand the likelihood of angler consumption of these fish. We investigated the resident contingent of Hudson River striped bass, focusing on the seasonal patterns of migration by these fish. Seasonal migrations of resident fish were measured using both manual tracking (four seasonal campaigns) and remote data-logging receiver arrays (three intercept sites) over a 12-month period (October 2004-November 2005).\\r\\rResults published in Wingate and Secor, 2007.
131                                                                                     To bring ecosystem considerations into the current Chesapeake Bay Program striped bass FMP will require improved understanding and benchmarks for the role of water quality and habitat in influencing striped bass production. Here, we propose to better understand the constraints on resident Chesapeake Bay striped bass production under continued and perhaps worsening conditions of thermal and hypoxic stress. A widely held, but unsubstantiated view of Chesapeake Bay striped bass is that eutrophication and related increased incidence of hypoxia during summer has reduced growth and condition, and occasionally resulted in fish kills. In this study, we will directly evaluate Coutant’s thermal niche-oxygen squeeze hypothesis in the Patuxent River estuary. We develop bioenergetic benchmarks of resident striped bass growth as habitat indicators relevant to management of striped bass and other living resources.
132                                                                                                                                                                                                                                                                                  US Wind, Inc. is developing Lease area OCS-A 0490 in waters offshore of Ocean City, MD (the MarWin Project Area). In tandem with this development, UMCES TAILWINDS is undertaking a coordinated program of fishery resource and marine mammal monitoring. The program includes monitoring of (1) commercial and recreational fishery resources, with a focus on black sea bass; (2) marine mammals (cetaceans: whales, dolphins and porpoises), using a passive acoustic monitoring (PAM) array and emphasizing large whales and dolphins; and (3) near real-time detections of baleen whales. Innovasea receivers are deployed alongside of the PAM array to intercept electronically-tagged fishes through the MarWin Project and adjacent areas.
           locality                  local_area
35   Chesapeake Bay             Nanticoke River
47   Kennebec River               Gulf of Maine
48        Annapolis              Chesapeake Bay
49   Chesapeake Bay              Chesapeake Bay
123    Hudson River                Hudson River
124  Atlantic Ocean                  Ocean City
125                                            
126  BOEM Wind Farm                  Ocean City
127 Cedar Point, MD              Chesapeake Bay
128    Hudson River                Hudson River
129  Chesapeake Bay              Chesapeake Bay
130    Hudson River                Hudson River
131  Patuxent River              Patuxent River
132                 Southern Mid-Atlantic Bight
                                                                          website
35                                                                               
47                                                                               
48                                                                               
49                                                                               
123                                                                              
124                                                                              
125                      https://espis.boem.gov/final%20reports/BOEM_2019-018.pdf
126 https://www.govinfo.gov/app/details/GOVPUB-I-e41f0ebd0487ba48b521a21a7ae45ec5
127                                                                              
128                                                                              
129                                    http://fishconnectivity.cbl.umces.edu/PAST
130                                                                              
131                                                                              
132                                                  https://tailwinds.umces.edu/
    node collaborationtype  id
35   ACT              Data  66
47   ACT        Deployment  77
48   ACT        Deployment  20
49   ACT        Deployment  21
123  ACT              Data  56
124  ACT              Data  65
125  ACT        Deployment  69
126  ACT              Data  68
127  ACT        Deployment  19
128  ACT              Data  53
129  ACT              Data 102
130  ACT              Data  52
131  ACT              Data 103
132  ACT        Deployment 128
                                                                                                                    the_geom
35                                            POLYGON ((-76.07 37.98, -76.07 38.83, -75.4 38.83, -75.4 37.98, -76.07 37.98))
47  POLYGON ((-70.089689 43.461849, -70.089689 44.345744, -69.399658 44.345744, -69.399658 43.461849, -70.089689 43.461849))
48                                            POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
49                                            POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
123                                         POLYGON ((-75.28 40.34, -75.28 42.98, -72.55 42.98, -72.55 40.34, -75.28 40.34))
124                                           POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
125                                  POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))
126                                           POLYGON ((-77.44 37.61, -77.44 43.3, -70.04 43.3, -70.04 37.61, -77.44 37.61))
127     POLYGON ((-76.424487 38.266579, -76.424487 38.3614, -76.221066 38.3614, -76.221066 38.266579, -76.424487 38.266579))
128                                         POLYGON ((-74.62 39.82, -74.62 42.57, -73.36 42.57, -73.36 39.82, -74.62 39.82))
129                                           POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
130                                         POLYGON ((-74.05 42.04, -74.05 42.86, -73.46 42.86, -73.46 42.04, -74.05 42.04))
131                                           POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
132                                  POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))

List your project’s files

list_project_files(project = 161)
   project                                file_type upload_date
1      161 Deployed Receivers – Deployment Metadata  2023-10-12
2      161               Tag Detections - .vfl file  2023-10-12
3      161 Deployed Receivers – Deployment Metadata  2023-09-28
4      161               Tag Detections - .vfl file  2023-09-13
5      161               Tag Detections - .vfl file  2023-09-13
6      161               Tag Detections - .vfl file  2023-09-13
7      161               Tag Detections - .vfl file  2023-09-13
8      161               Tag Detections - .vfl file  2023-09-13
9      161               Tag Detections - .vfl file  2023-09-13
10     161               Tag Detections - .vfl file  2023-09-13
11     161               Tag Detections - .vfl file  2023-09-13
12     161 Deployed Receivers – Deployment Metadata  2022-05-05
13     161               Tag Detections - .vfl file  2022-05-05
14     161               Tag Detections - .vfl file  2022-05-05
15     161               Tag Detections - .vfl file  2022-05-05
16     161               Tag Detections - .vfl file  2022-05-05
17     161               Tag Detections - .vfl file  2022-05-05
18     161 Deployed Receivers – Deployment Metadata  2022-01-11
19     161               Tag Detections - .vfl file  2021-12-15
20     161               Tag Detections - .vfl file  2021-12-15
21     161               Tag Detections - .vfl file  2021-12-15
22     161               Tag Detections - .vfl file  2021-12-15
23     161               Tag Detections - .vfl file  2021-12-15
24     161               Tag Detections - .vfl file  2021-12-15
25     161 Deployed Receivers – Deployment Metadata  2021-09-09
26     161               Tag Detections - .vfl file  2021-08-26
27     161               Tag Detections - .vfl file  2021-08-26
28     161               Tag Detections - .vfl file  2021-08-26
29     161               Tag Detections - .vfl file  2021-08-26
30     161               Tag Detections - .vfl file  2021-08-26
31     161               Tag Detections - .vfl file  2021-08-26
32     161 Deployed Receivers – Deployment Metadata  2021-07-08
                                               file_name
1      MidBay Backbone_instrument_metadata_20231012.xlsx
2                            VR2AR_546323_20231012_1.vrl
3      MidBay_Backbone_instrument_metadata_20230913.xlsx
4                            VR2AR_547715_20230912_1.vrl
5                            VR2AR_547714_20230912_1.vrl
6                            VR2AR_546476_20230912_1.vrl
7                            VR2AR_546470_20230912_1.vrl
8                            VR2AR_546462_20230912_1.vrl
9                            VR2AR_546457_20230912_1.vrl
10                           VR2AR_546304_20230912_1.vrl
11                           VR2AR_546211_20230912_1.vrl
12     MidBay Backbone_instrument_metadata_20220504.xlsx
13                           VR2AR_546323_20220504_1.vrl
14                           VR2AR_546470_20220504_1.vrl
15                           VR2AR_546211_20220504_1.vrl
16                           VR2AR_546457_20220504_1.vrl
17                           VR2AR_546305_20220504_1.vrl
18  MidBay Backbone_ACT_instrument_metadata_20211214.xls
19                           VR2AR_546305_20211214_1.vrl
20                           VR2AR_546457_20211214_1.vrl
21                           VR2AR_546211_20211214_1.vrl
22                           VR2AR_546470_20211214_1.vrl
23                           VR2AR_546323_20211214_1.vrl
24                           VR2AR_546460_20211214_1.vrl
25    MidBay Backbone_ACT_instrument_metadata_202109.xls
26                           VR2AR_546470_20210820_1.vrl
27                           VR2AR_546460_20210820_1.vrl
28                           VR2AR_546457_20210820_1.vrl
29                           VR2AR_546323_20210820_1.vrl
30                           VR2AR_546305_20210820_1.vrl
31                           VR2AR_546211_20210820_2.vrl
32 MidBay Backbone_ACT_instrument_metadata_shortform.xls
                                                       url
1  https://matos.asascience.com/projectfile/download/11088
2  https://matos.asascience.com/projectfile/download/11087
3   https://matos.asascience.com/projectfile/download/8181
4   https://matos.asascience.com/projectfile/download/8003
5   https://matos.asascience.com/projectfile/download/8002
6   https://matos.asascience.com/projectfile/download/8001
7   https://matos.asascience.com/projectfile/download/8000
8   https://matos.asascience.com/projectfile/download/7999
9   https://matos.asascience.com/projectfile/download/7998
10  https://matos.asascience.com/projectfile/download/7997
11  https://matos.asascience.com/projectfile/download/7996
12  https://matos.asascience.com/projectfile/download/5121
13  https://matos.asascience.com/projectfile/download/5120
14  https://matos.asascience.com/projectfile/download/5119
15  https://matos.asascience.com/projectfile/download/5118
16  https://matos.asascience.com/projectfile/download/5117
17  https://matos.asascience.com/projectfile/download/5116
18  https://matos.asascience.com/projectfile/download/4200
19  https://matos.asascience.com/projectfile/download/4190
20  https://matos.asascience.com/projectfile/download/4189
21  https://matos.asascience.com/projectfile/download/4188
22  https://matos.asascience.com/projectfile/download/4187
23  https://matos.asascience.com/projectfile/download/4186
24  https://matos.asascience.com/projectfile/download/4185
25  https://matos.asascience.com/projectfile/download/4015
26  https://matos.asascience.com/projectfile/download/4012
27  https://matos.asascience.com/projectfile/download/4011
28  https://matos.asascience.com/projectfile/download/4010
29  https://matos.asascience.com/projectfile/download/4009
30  https://matos.asascience.com/projectfile/download/4008
31  https://matos.asascience.com/projectfile/download/4007
32  https://matos.asascience.com/projectfile/download/3930

Download (get) a project file

get_project_file(2, 161)
── Downloading files ───────────────────────────────────────────────────────────
✔ File(s) saved to:
   C:\Users\darpa2\Analysis\ACT-2024\ACT_20240123\VR2AR_546323_20231012_1.vrl 
── Unzipping files ─────────────────────────────────────────────────────────────
[1] "C:\\Users\\darpa2\\Analysis\\ACT-2024\\ACT_20240123\\VR2AR_546323_20231012_1.vrl"

List your data extract files

list_extract_files(project = 161)
  project            file_type detection_type detection_year upload_date
1     161 Data Extraction File      qualified           2021  2023-11-21
2     161 Data Extraction File      qualified           2022  2023-11-21
3     161 Data Extraction File      qualified           2023  2023-11-21
4     161 Data Extraction File   sentinel_tag           2021  2023-03-16
5     161 Data Extraction File   sentinel_tag           2022  2023-03-16
6     161 Data Extraction File    unqualified           2021  2023-11-21
7     161 Data Extraction File    unqualified           2022  2023-11-21
8     161 Data Extraction File    unqualified           2023  2023-11-21
                                file_name
1    cbbbmb_qualified_detections_2021.zip
2    cbbbmb_qualified_detections_2022.zip
3    cbbbmb_qualified_detections_2023.zip
4 cbbbmb_sentinel_tag_detections_2021.zip
5 cbbbmb_sentinel_tag_detections_2022.zip
6  cbbbmb_unqualified_detections_2021.zip
7  cbbbmb_unqualified_detections_2022.zip
8  cbbbmb_unqualified_detections_2023.zip
                                                                url
1 https://matos.asascience.com/projectfile/downloadExtraction/161_1
2 https://matos.asascience.com/projectfile/downloadExtraction/161_2
3 https://matos.asascience.com/projectfile/downloadExtraction/161_3
4 https://matos.asascience.com/projectfile/downloadExtraction/161_4
5 https://matos.asascience.com/projectfile/downloadExtraction/161_5
6 https://matos.asascience.com/projectfile/downloadExtraction/161_6
7 https://matos.asascience.com/projectfile/downloadExtraction/161_7
8 https://matos.asascience.com/projectfile/downloadExtraction/161_8

Download (get) your data extract files

get_extract_file(1, 161)
── Downloading files ───────────────────────────────────────────────────────────
✔ File(s) saved to:
   C:\Users\darpa2\Analysis\ACT-2024\ACT_20240123\cbbbmb_qualified_detections_2021.zip 
── Unzipping files ─────────────────────────────────────────────────────────────
✔ File(s) unzipped to:
   C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/cbbbmb_qualified_detections_2021.csv
   C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/data_description.txt 
[1] "C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/cbbbmb_qualified_detections_2021.csv"
[2] "C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/data_description.txt"                

How is this helpful?

Project management! Bulk downloads:

list_extract_files(161)$url |> 
  lapply(
    function(url) get_extract_file(url = url)
  )

How is this helpful?

Bulk uploads:

upload_file(
  161,
  list.files('everything in this folder')
)

How is this helpful?

Networking:

“I wonder who else is working on striped bass?”

all_projects <- list_projects()

all_projects[grepl('striped bass', all_projects$abstract), ]$name
 [1] "MADMF Striped Bass Migration Ecology Study"  
 [2] "Mallows Bay National Marine Sanctuary"       
 [3] "MBL STRIPED BASS"                            
 [4] "MBL/WTGHA Striped Bass Study"                
 [5] "Monmouth University Coastal Fisheries Study" 
 [6] "NCBO Back Creek"                             
 [7] "NCCOS Poplar Island"                         
 [8] "NCDMF Anadromous Fisheries Tagging Study"    
 [9] "NCDMF Multi-Species Tagging Program"         
[10] "NCDMF Tar-Pam Neuse Arrays"                  
[11] "SERC Juvenile Striped Bass Study"            
[12] "UMCES-NYSDEC Hudson Striped Bass Spawning"   
[13] "UMCES BOEM Offshore Wind Energy"             
[14] "UMCES Lower Hudson Striped Bass Contingents" 
[15] "UMCES Potomac River Striped Bass Migration"  
[16] "UMCES Resident Hudson Striped Bass Migration"
[17] "UMCES Striped Bass Thermal Squeeze"          
[18] "VMRC Acoustic Study"                         

More information

https://matos.obrien.page

obrien@umces.edu

rvdat

Change your VUEpoint of receiver data

https://rvdat.obrien.page/

  • An interface to vdat.exe, distributed with Fathom Connect

Big note

Connect to your instance of VDAT

library(rvdat)

vdat_here('c:/program files/innovasea/fathom/vdat.exe')
ℹ vdat.exe is located at c:/program files/innovasea/fathom/vdat.exe

Inspect your file

info <- vdat_inspect('VR2AR_546323_20231012_1.vrl')
==============================================================================
                                     VRL                                      
==============================================================================
File:      VR2AR_546323_20231012_1.vrl
Original:  VR2AR_546323_20231012_1.vrl
Container: VR2AR VRL file (com.vemco.file.vrl.0207.ff02.ff02/5.2.2)
Created:   2023-10-12T14:28:01
Data UUID: 1713ed82-3f34-1a47-9f30-8afebee9b1c4
Rx Model:  VR2AR-69
Rx Serial: 546323

==============================================================================
                                    Device                                    
==============================================================================
Decoding Map:      MAP-114
Blanking Interval: 260 ms

Inspect your file… to a data.frame

info
           variable                                                    value
1              File                              VR2AR_546323_20231012_1.vrl
2          Original                              VR2AR_546323_20231012_1.vrl
3         Container VR2AR VRL file (com.vemco.file.vrl.0207.ff02.ff02/5.2.2)
4           Created                                      2023-10-12T14:28:01
5         Data UUID                     1713ed82-3f34-1a47-9f30-8afebee9b1c4
6          Rx Model                                                 VR2AR-69
7         Rx Serial                                                   546323
8      Decoding Map                                                  MAP-114
9 Blanking Interval                                                   260 ms
  section
1     VRL
2     VRL
3     VRL
4     VRL
5     VRL
6     VRL
7     VRL
8  Device
9  Device

Convert your VRL file (or other VDAT files!)

vdat_to_folder('VR2AR_546323_20231012_1.vrl')
✔ File converted:
  VR2AR_546323_20231012_1.vrl
ℹ Files saved in:
  C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/VR2AR_546323_20231012_1.csv-fathom-split
list.files('VR2AR_546323_20231012_1.csv-fathom-split')
 [1] "ATTITUDE.csv"         "BATTERY.csv"          "CFG_CHANNEL.csv"     
 [4] "CFG_STUDY.csv"        "CFG_TRANSMITTER.csv"  "CLOCK_REF.csv"       
 [7] "DATA_SOURCE_FILE.csv" "DEPTH.csv"            "DET.csv"             
[10] "DIAG.csv"             "EVENT.csv"            "EVENT_INIT.csv"      
[13] "EVENT_OFFLOAD.csv"    "HEALTH_VR2AR.csv"     "TEMP.csv"            

Pull out detections

dets <- read.csv('VR2AR_546323_20231012_1.csv-fathom-split/DET.csv',
                 skip = 1)

xtabs(~ Full.ID, data = dets)
Full.ID
A69-1601-26187 A69-1601-60787 A69-1601-60934 A69-1602-21404 A69-1602-25905 
             2          28410            841             47             13 
A69-1602-25908 A69-1602-34360 A69-1602-49365 A69-1602-51178 A69-1602-55932 
             9              4            451              2              6 
A69-1602-55959   A69-1604-690 A69-9001-15398 A69-9001-15402  A69-9001-1898 
            13             23             31              2              2 
A69-9001-21721 A69-9001-24477 A69-9001-26408 A69-9001-64709  A69-9001-6906 
             2             13             19             13             15 

Pull out temperature data

bwt <- read.csv('VR2AR_546323_20231012_1.csv-fathom-split/TEMP.csv',
                skip = 1)

plot.ts(bwt$Ambient..deg.C.)

Noise

diag <- read.csv('VR2AR_546323_20231012_1.csv-fathom-split/DIAG.csv',
                skip = 1)

plot.ts(diag$Noise.Mean..mV.)

Tilt

plot.ts(diag$Tilt..deg.)

Depth

plot.ts(diag$Depth..m.)

Pings

plot.ts(diag$PPM.Pings)

Detections

plot.ts(diag$PPM.Detections)

More information

https://rvdat.obrien.page

otndo

  • Understand ACT/OTN data pushes
  • Quick-and-dirty summary of the data push
  • Back to the “network”

What’s needed

list_my_projects()
                                            name number
35      Maryland Department of Natural Resources     90
47              Navy Kennebec ME Telemetry Array    192
48         NCBO-MD DNR Chesapeake Backbone North    181
49           NCBO-VMRC Chesapeake Backbone South    164
123    UMCES-NYSDEC Hudson Striped Bass Spawning    127
124 UMCES Black Sea Bass & Offshore Construction     97
125          UMCES BOEM Marine Mammal Monitoring    242
126              UMCES BOEM Offshore Wind Energy     87
127           UMCES Chesapeake Backbone, Mid-Bay    161
128  UMCES Lower Hudson Striped Bass Contingents    155
129   UMCES Potomac River Striped Bass Migration     60
130 UMCES Resident Hudson Striped Bass Migration    160
131           UMCES Striped Bass Thermal Squeeze    152
132                              UMCES TailWinds    240
                                                url
35   https://matos.asascience.com/project/detail/90
47  https://matos.asascience.com/project/detail/192
48  https://matos.asascience.com/project/detail/181
49  https://matos.asascience.com/project/detail/164
123 https://matos.asascience.com/project/detail/127
124  https://matos.asascience.com/project/detail/97
125 https://matos.asascience.com/project/detail/242
126  https://matos.asascience.com/project/detail/87
127 https://matos.asascience.com/project/detail/161
128 https://matos.asascience.com/project/detail/155
129  https://matos.asascience.com/project/detail/60
130 https://matos.asascience.com/project/detail/160
131 https://matos.asascience.com/project/detail/152
132 https://matos.asascience.com/project/detail/240
                                                     FID collectioncode
35  otn_resources_metadata.fid-37ac1afd_18d3389bf79_486e   ACT.MDDNR1NR
47  otn_resources_metadata.fid-37ac1afd_18d3389bf79_4879   ACT.NAVYKENN
48  otn_resources_metadata.fid-37ac1afd_18d3389bf79_4840      ACT.CBBBN
49  otn_resources_metadata.fid-37ac1afd_18d3389bf79_4841      ACT.CBBBS
123 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4864     ACT.HUDRSB
124 otn_resources_metadata.fid-37ac1afd_18d3389bf79_486d      ACT.MDBSB
125 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4871   ACT.MDWEAMAM
126 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4870      ACT.MDWEA
127 otn_resources_metadata.fid-37ac1afd_18d3389bf79_483f     ACT.CBBBMB
128 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4861     ACT.HRSB09
129 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4892      ACT.PASBT
130 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4860     ACT.HRSB04
131 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4893    ACT.PAXSB08
132 otn_resources_metadata.fid-37ac1afd_18d3389bf79_48ac  ACT.TAILWINDS
                                                                                                                                longname
35                                   Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47                                        Naval Undersea Warfare Center (NUWC) Kennebec River and Offshore Acoustic Telemetry Monitoring
48                            NOAA Chesapeake Bay Office-Maryland Department of Natural Resources Chesapeake Bay Backbone Northern Array
49                        NOAA Chesapeake Bay Office-Virginia Marine Resource Commission Chesapeake Bay Backbone Southern Acoustic Array
123                                                                  Spawning Behavior and Ocean Migrations by Hudson River Striped Bass
124        Influence of Turbine Construction Noise on Black Sea Bass Displacement and Physiological Condition in the MD Wind Energy Area
125 Add-on to: Determining Habitat Use by Marine Mammals and Ambient Noise Levels Using Passive Acoustic Monitoring Offshore of Maryland
126          Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127                                                                  Building a Mainstem Chesapeake Bay Telemetry Array: Mid-Bay Segment
128                                                            Striped Bass Habitat Use and Migrations in the Lower Hudson River Estuary
129                                                                          PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130                                                                             Migration Patterns of Resident Hudson River Striped Bass
131                                                  Test of The Thermal Niche-Oxygen Squeeze Hypothesis for Chesapeake Bay Striped Bass
132                                                TailWinds: Team for Assessing Impacts to Living resources from offshore WIND turbineS
                                       shortname        ocean seriescode
35      Maryland Department of Natural Resources MID ATLANTIC        ACT
47              Navy Kennebec ME Telemetry Array  NE ATLANTIC        ACT
48         NCBO-MD DNR Chesapeake Backbone North  NE ATLANTIC        ACT
49           NCBO-VMRC Chesapeake Backbone South  NE ATLANTIC        ACT
123    UMCES-NYSDEC Hudson Striped Bass Spawning  NE ATLANTIC        ACT
124 UMCES Black Sea Bass & Offshore Construction  NE ATLANTIC        ACT
125          UMCES BOEM Marine Mammal Monitoring  NE ATLANTIC        ACT
126              UMCES BOEM Offshore Wind Energy MID ATLANTIC        ACT
127           UMCES Chesapeake Backbone, Mid-Bay  NE ATLANTIC        ACT
128  UMCES Lower Hudson Striped Bass Contingents MID ATLANTIC        ACT
129   UMCES Potomac River Striped Bass Migration MID ATLANTIC        ACT
130 UMCES Resident Hudson Striped Bass Migration  NE ATLANTIC        ACT
131           UMCES Striped Bass Thermal Squeeze MID ATLANTIC        ACT
132                              UMCES TailWinds  NE ATLANTIC        ACT
       status
35    ongoing
47    ongoing
48    ongoing
49    ongoing
123 completed
124 completed
125   ongoing
126 completed
127   ongoing
128 completed
129 completed
130 completed
131 completed
132   ongoing
                                                                                                                                         citation
35                           Stence, C. 2019. Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47                                                                                                                                               
48                                                                                                                                               
49                                                                                                                                               
123                                                                                                                                              
124                                                                                                                                              
125                                                                                                                                              
126 O'Brien, M. 2016. Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127                                                                                                                                              
128                                                                                                                                              
129                                                                 O'Brien, M. 2014. PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130                                                                                                                                              
131                                                                                                                                              
132                                                                                                                                              
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                abstract
35                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             Recovery planning for Atlantic sturgeon requires estimates of population abundances against which to evaluate takes and develop feasible restoration targets.  We will develop an approach combining telemetry and multi-beam sonar (ARIS: Adaptive Resolution Imaging Sonar) to estimate spawning run size in the Nanticoke River Estuary, which supports a newly discovered yet potentially critically endangered population within Chesapeake Bay DPS.
47                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              This telemetry monitoring study is to collect year round occurrence data for Atlantic and shortnose sturgeon in the lower Kennebec River (at Bath Iron Works [BIW]) and also to collect data during recurrent Naval activities. This study will also implement monitoring stations offshore of Popham Beach to capture coastal movements of sturgeon and other species including White Sharks.  This area encompasses a curtain between Fox-Seguin Islands and the JackKnife Ledge Dredge Disposal area.
48                                                                                                                                               NCBO and MD DNR partner to deploy four acoustic release receivers across the span of the Chesapeake adjacent to the Chesapeake Bay Bridge between Annapolis and Kent Island. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay. The goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally
49                                                                                                                                                                               This project maintains a line of receivers immediately adjacent to the Chesapeake Bay Bridget Tunnel near the mouth of the Chesapeake. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay.\\r\\rThe goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally.
123                                                                                                                                                                                                                                                                                                                                                                                                                Together with other principal striped bass stocks, the Hudson River population has experienced diminished recruitment and survival, which has prompted management action to reduce fishing mortality in New York and other states. A central issue in the management of Hudson River striped bass is how this population contributes to coastal fisheries. What factors influence coastal migrations? This study used existing telemetry receiver assets in the Hudson River, shelf waters, and other major Atlantic estuaries to examine the influence of sex, size, and spawning reach on these coastal migrations.
124                                                                                                                                                                                                                                                                                                                              The project evaluates differences in black sea bass occurrence, movement, and physiological condition between a control region (>20 km) and regions of avoidance (500-1000 m) and noise detection (2000-4000 m) associated with construction of a meteorological tower in advance of wind farm development. The influence of noise levels (recorded on broadband acoustic receivers) from separate phases of Meteorological Tower construction on black sea bass occurrence and movement data is monitored.\\r\\rInfluence of large-scale storms on the acoustic environment and physical oceanography on black sea bass movement and migration will also be investigated utilizing the resultant data.
125                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               BOEM Study 2019-018 was used as a "ship of opportunity" to deploy Innovasea VR2Ws alongside of passive acoustic monitoring instruments used to describe marine mammal movements through the Maryland Wind Energy Area.
126 Baseline information is needed on the extent of fish migration corridors within BOEM-leased Wind Energy Areas. This two-year biotelemetry study deployed a beforeafter-gradient approach to evaluate migration behavior and habitat selection of two model migratory fishes, Atlantic sturgeon Acipenser oxyrhynchus and striped bass Morone saxatilis, in the Maryland Wind Energy Area (MD WEA). The MD WEA is located in the migration corridors for both species during periods of spring, fall and winter. Detected individuals within the MD WEA originated broadly, from Maine to South Carolina. During summer, Atlantic sturgeon were rarely detected and striped bass were absent in the MD WEA, suggesting a potential window for wind turbine construction. Dynamic habitat models identified cross-shelf gradients in depth and temperature that were predictive of seasonal incidence and whether test species distributions were within MD WEA or in adjacent shelf regions.  https://doi.org/10.5061/dryad.6hdr7sqx3
127                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 This project maintains a string of receivers across the mid-Bay segment of the mainstem Chesapeake Bay between Cedar Point and Barren Island, MD. The goal of this project is to create a consistently-deployed telemetry array upon which other projects can build.
128                                                                                                                                                                                                                                                                                                                                                                                 Through biotelemetry, we investigated how striped bass transit and utilize the lower Hudson River Estuary. This study builds upon past Hudson River Foundation-supported research, which suggested that striped bass migration patterns, categorized as “contingent structure,” might be a useful organizing concept in understanding how striped bass seasonally utilize the Hudson River Estuary. Seasonal migrations of three contingents (river, harbor, and ocean contingents) were investigated using both manual tracking (three seasonal campaigns) and remote data-logging receiver arrays over a 18-month period (May 2010-December 2011).
129                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  Track a representative group of 100 Potomac River striped bass over a multi-year period within the Potomac River and across major regions and tributaries of the Chesapeake and the Atlantic Coast.
130                  Hudson River striped bass show highly variable migration patterns, as seen through tagging studies and otolith microchemical analyses (Clark 1968; Secor 1999). Recent studies have shown resident, estuarine, and ocean migratory contingents in the Hudson River (Secor et al. 2001). These contingent behaviors play a dominant role in the exposure of these fish to polychlorinated biphenyls (PCBs) (Secor and Zlokovitz 1999). We describe a study of seasonal migrations of contaminated resident striped bass to better understand the likelihood of angler consumption of these fish. We investigated the resident contingent of Hudson River striped bass, focusing on the seasonal patterns of migration by these fish. Seasonal migrations of resident fish were measured using both manual tracking (four seasonal campaigns) and remote data-logging receiver arrays (three intercept sites) over a 12-month period (October 2004-November 2005).\\r\\rResults published in Wingate and Secor, 2007.
131                                                                                     To bring ecosystem considerations into the current Chesapeake Bay Program striped bass FMP will require improved understanding and benchmarks for the role of water quality and habitat in influencing striped bass production. Here, we propose to better understand the constraints on resident Chesapeake Bay striped bass production under continued and perhaps worsening conditions of thermal and hypoxic stress. A widely held, but unsubstantiated view of Chesapeake Bay striped bass is that eutrophication and related increased incidence of hypoxia during summer has reduced growth and condition, and occasionally resulted in fish kills. In this study, we will directly evaluate Coutant’s thermal niche-oxygen squeeze hypothesis in the Patuxent River estuary. We develop bioenergetic benchmarks of resident striped bass growth as habitat indicators relevant to management of striped bass and other living resources.
132                                                                                                                                                                                                                                                                                  US Wind, Inc. is developing Lease area OCS-A 0490 in waters offshore of Ocean City, MD (the MarWin Project Area). In tandem with this development, UMCES TAILWINDS is undertaking a coordinated program of fishery resource and marine mammal monitoring. The program includes monitoring of (1) commercial and recreational fishery resources, with a focus on black sea bass; (2) marine mammals (cetaceans: whales, dolphins and porpoises), using a passive acoustic monitoring (PAM) array and emphasizing large whales and dolphins; and (3) near real-time detections of baleen whales. Innovasea receivers are deployed alongside of the PAM array to intercept electronically-tagged fishes through the MarWin Project and adjacent areas.
           locality                  local_area
35   Chesapeake Bay             Nanticoke River
47   Kennebec River               Gulf of Maine
48        Annapolis              Chesapeake Bay
49   Chesapeake Bay              Chesapeake Bay
123    Hudson River                Hudson River
124  Atlantic Ocean                  Ocean City
125                                            
126  BOEM Wind Farm                  Ocean City
127 Cedar Point, MD              Chesapeake Bay
128    Hudson River                Hudson River
129  Chesapeake Bay              Chesapeake Bay
130    Hudson River                Hudson River
131  Patuxent River              Patuxent River
132                 Southern Mid-Atlantic Bight
                                                                          website
35                                                                               
47                                                                               
48                                                                               
49                                                                               
123                                                                              
124                                                                              
125                      https://espis.boem.gov/final%20reports/BOEM_2019-018.pdf
126 https://www.govinfo.gov/app/details/GOVPUB-I-e41f0ebd0487ba48b521a21a7ae45ec5
127                                                                              
128                                                                              
129                                    http://fishconnectivity.cbl.umces.edu/PAST
130                                                                              
131                                                                              
132                                                  https://tailwinds.umces.edu/
    node collaborationtype  id
35   ACT              Data  66
47   ACT        Deployment  77
48   ACT        Deployment  20
49   ACT        Deployment  21
123  ACT              Data  56
124  ACT              Data  65
125  ACT        Deployment  69
126  ACT              Data  68
127  ACT        Deployment  19
128  ACT              Data  53
129  ACT              Data 102
130  ACT              Data  52
131  ACT              Data 103
132  ACT        Deployment 128
                                                                                                                    the_geom
35                                            POLYGON ((-76.07 37.98, -76.07 38.83, -75.4 38.83, -75.4 37.98, -76.07 37.98))
47  POLYGON ((-70.089689 43.461849, -70.089689 44.345744, -69.399658 44.345744, -69.399658 43.461849, -70.089689 43.461849))
48                                            POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
49                                            POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
123                                         POLYGON ((-75.28 40.34, -75.28 42.98, -72.55 42.98, -72.55 40.34, -75.28 40.34))
124                                           POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
125                                  POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))
126                                           POLYGON ((-77.44 37.61, -77.44 43.3, -70.04 43.3, -70.04 37.61, -77.44 37.61))
127     POLYGON ((-76.424487 38.266579, -76.424487 38.3614, -76.221066 38.3614, -76.221066 38.266579, -76.424487 38.266579))
128                                         POLYGON ((-74.62 39.82, -74.62 42.57, -73.36 42.57, -73.36 39.82, -74.62 39.82))
129                                           POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
130                                         POLYGON ((-74.05 42.04, -74.05 42.86, -73.46 42.86, -73.46 42.04, -74.05 42.04))
131                                           POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
132                                  POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))

Receiver summary

library(otndo)

matos_receiver_summary(161)

Transmitter summary

matos_tag_summary(87)